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Harmonic Mitigation and Power Factor Improvement using Fuzzy Logic and Neural Network Controlled Active Power Filter
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 Title & Authors
Harmonic Mitigation and Power Factor Improvement using Fuzzy Logic and Neural Network Controlled Active Power Filter
Kumar, V.Suresh; Kavitha, D.; Kalaiselvi, K.; Kannan, P. S.;
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 Abstract
This work focuses on the evaluation of active power filter which is controlled by fuzzy logic and neural network based controller for harmonic mitigation and power factor enhancement. The APF consists of a variable DC voltage source and a DC/AC inverter. The task of an APF is to make the line current waveform as close as possible to a sinusoid in phase with the line voltage by injecting the compensation current. The compensation current is estimated using adaptive neural network. Using the estimated current, the proposed APF is controlled using neural network and fuzzy logic. Computer simulations of the proposed APF are performed using MATLAB. The results show that the proposed techniques for the evaluation of APF can reduce the total harmonic distortion less than 3% and improve the power factor of the system to almost unity.
 Keywords
active power filter;fuzzy logic;harmonics;neural network;power quality;
 Language
English
 Cited by
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Harmonic Analysis of Reactor and Capacitor in Single-tuned Harmonic Filter Application, Journal of Electrical Engineering and Technology, 2011, 6, 2, 239  crossref(new windwow)
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